Our client is a Oil & Gas company that is looking to expand their Data Engineering team in Singapore. Your main responsibility will be to create, maintain, scale and improve the enterprise data platform providing the data for AI/Data Science solutions, applications/tools, and other digital use cases.
What you will do:
- Design, develop, and maintain robust, scalable and sustainable data products and build & optimize data pipeline and infrastructure.
- Collaborate with stakeholders to understand their data requirements and translate them into technical solutions.
- Identify and implement data quality monitoring and validation processes to ensure data integrity.
- Implement data quality frameworks and ensure data governance best practices, including data lineage, data documentation, and data security.
- Build out the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Synapse, ADF, Spark, Kafka, or similar technologies.
- Work closely with Data Analysts and Data Architect to support their data needs and enable advanced analytics and machine learning initiatives.
- Contribute to the development of the organization's data strategy, including evaluating new technologies, tools, and frameworks to enhance the data engineering ecosystem.
Qualifications:
- BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field
- 4- 8 years to total IT experience preferably in field of data engineering
- 4+ years’ experience with Azure services including IAM, Synapse, DataLake, SQL Server, ADF etc.
- 2+ years’ experience in creating and deploying docker containers on Kubernetes.
- 2+ years’ experience in supporting development teams on Kubernetes best practices, troubleshooting, and performance optimization.
- 2+ years’ experience with CI/CD pipelines toll such as Jenkins and GitHub Actions
- 2+ years’ experience with Synapse data warehousing and data lake solutions
- Strong programming skill in Python, PySpark and SQL
- 4+ years of experience in scripting and automation using languages such as Bash, Python, or Go
Don't miss this extraordinary opportunity! Propel your career with Airswift.
For further information please apply with your updated CV or email Donnie Maclary at donald.maclary@airswift.com
Permanent
Singapore, Singapore
